Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection

BACKGROUND: Many variable selection techniques have been proposed for the clustering of gene expression data. While these methods tend to filter out irrelevant genes and identify informative genes that contribute to a clustering solution, they are based on criteria that do not consider the potential...

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Detalles Bibliográficos
Autores principales: Wang, Zixing, Lucas, F Anthony San, Qiu, Peng, Liu, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035826/
https://www.ncbi.nlm.nih.gov/pubmed/24885641
http://dx.doi.org/10.1186/1471-2105-15-153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035826/
https://www.ncbi.nlm.nih.gov/pubmed/24885641
http://dx.doi.org/10.1186/1471-2105-15-153

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